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ICML
2005
IEEE
16 years 5 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
LREC
2010
169views Education» more  LREC 2010»
14 years 11 months ago
Language Identification of Short Text Segments with N-gram Models
There are many accurate methods for language identification of long text samples, but identification of very short strings still presents a challenge. This paper studies a languag...
Tommi Vatanen, Jaakko J. Väyrynen, Sami Virpi...
UML
2000
Springer
15 years 8 months ago
UMLi: The Unified Modeling Language for Interactive Applications
User interfaces (UIs) are essential components of most software systems, and significantly affect the effectiveness of installed applications. In addition, UIs often represent a s...
Paulo Pinheiro da Silva, Norman W. Paton
INTERSPEECH
2010
14 years 11 months ago
Topic and style-adapted language modeling for Thai broadcast news ASR
The amount of available Thai broadcast news transcribed text for training a language model is still very limited, comparing to other major languages. Since the construction of a b...
Markpong Jongtaveesataporn, Sadaoki Furui
183
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SIGIR
2002
ACM
15 years 4 months ago
Risk minimization and language modeling in text retrieval dissertation abstract
tion Abstract ChengXiang Zhai (Advisor: John Lafferty) Language Technologies Institute School of Computer Science Carnegie Mellon University With the dramatic increase in online in...
ChengXiang Zhai